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Record W2018613878 · doi:10.1155/2012/461597

What Are the Economic and Labour Market Effects of an Income Tax Reduction Targeted at Older Workers?

2012· article· en· W2018613878 on OpenAlexafffundabout
Maxime Fougère, Simon Harvey, Bruno Rainville

Bibliographic record

VenueEconomics Research International · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsEmployment and Social Development Canada
FundersHuman Resources and Skills Development CanadaGovernment of Canada
KeywordsEconomicsLabour economicsLabour supplyWelfareState income taxTax reformPublic economicsMarket economy

Abstract

fetched live from OpenAlex

This paper explores the economic and labour market effects of implementing a tax reduction targeted at older workers. The analysis is conducted with a life-cycle computable general equilibrium model calibrated on Canadian data. The analysis shows that implementing a permanent income tax reduction for workers aged 60 and over has only small macroeconomic effects because the labour supply increase of older workers is partly offset by a reduction in the labour supply at core ages. This induced effect also discourages savings and generates crowding out through private investment but has a favourable impact on lifetime economic welfare. The macroeconomic impact is much larger when the income tax reduction is temporary because workers no longer reduce their hours at core ages and there is no reduction in savings. However, since only current middle-aged and older workers benefit from the tax cut, a temporary income tax cut reduces intergenerational equity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0120.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.293
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2012
Admission routes3
Has abstractyes

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